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ZetaChain today announced the public waitlist and beta launch for Anuma, a privacy-first AI interface based on ZetaChain 2.0. To assist developers in creating apps and agents that function across AI models, maintain private user context, and generate revenue globally without the need for backend infrastructure, ZetaChain also unveiled ZetaChain 2.0, a new AI interoperability layer.
Ankur Nandwani, a core contributor to ZetaChain, was a co-creator of Basic Attention Token (BAT), which drives the Brave browser ecosystem with more than 100 million monthly active users. By automatically disabling trackers and ads, Brave helped mainstream privacy-first browsing. Anuma extends the same “privacy and user control by default” strategy to the next big AI consumer interface, where user experience is increasingly defined by context and memory.
Internet-wide adoption of AI is accelerating: OpenAI expects 800 million weekly active users by late 2025, while McKinsey reports that ChatGPT reached 100 million users in just two months. However, only 9% of users pay for multiple AI subscriptions across major assistants, suggesting the ecosystem remains fragmented. While privacy and data are commonly shared between apps, agents, and model providers, this combination results in lock-in at the model layer and forces developers to construct the same integration, routing, state, and billing infrastructure again and over.
By enabling universal apps—apps that can run on many blockchains using a single platform and natively access assets like Bitcoin—ZetaChain was created to combat Web3 fragmentation. The ZetaChain network handled over 225 million transactions and grew to over 11.5 million subscribers in 2025. This unification concept is being extended to AI with ZetaChain 2.0, allowing applications to function across chains and models with built-in private context and permissions.
 
ZetaChain 2.0 is composed of two core components:
- AI Portal: A unified routing and execution layer that allows applications to access multiple AI model providers without lock-in, with built-in support for availability, fallback, and cost-performance optimization.
- Private Memory Layer: A protocol-level memory system designed to keep user context encrypted and permissioned, enabling persistent experiences across sessions while maintaining user control over what applications and agents can access.
Developer SDK and Platform
As a platform for developers, ZetaChain 2.0 is built to grow. In addition to the protocol components, ZetaChain is releasing a developer SDK that combines monetization primitives, cross-model compatibility, and private persistent memory into a single toolkit. Without requiring teams to create custom infrastructure, the objective is to make it simple to develop privacy-first apps and agents that can connect to multiple model providers, preserve continuity across sessions, and support global monetization rails from on-chain settlement to conventional payment processors.
Anuma: First Consumer Showcase
The first consumer AI interface developed on ZetaChain 2.0 is called Anuma. The solution allows users to access several top AI models in a single experience, move between models without losing context, and keep memory private and under user control. The public waitlist allows users to request early access.
“Brave and BAT proved that privacy-first defaults can win at consumer scale,” said Ankur Nandwani, Core Contributor at ZetaChain. “We’ve already unified the blockchain experience at scale, powering more than 225 million transactions. ZetaChain 2.0 extends that same approach to AI, enabling the next generation of apps and agents that run across models and chains with private, permissioned memory and global monetization by default.”
Blockchain.com, Human Capital, VY Capital, Sky9 Capital, Jane Street Capital, VistaLabs, CMT Digital, Foundation Capital, Lingfeng Capital, GSR, and others participated in the $27 million fundraising round that ZetaChain announced in 2023.